CN108697327B

CN108697327B - Physiological information monitoring method, device, device and smart pad

Info

Publication number: CN108697327B
Application number: CN201780008991.XA
Authority: CN
Inventors: 罗国发
Original assignee: Shenzhen H&T Intelligent Control Co Ltd
Current assignee: Shenzhen H&T Intelligent Control Co Ltd
Priority date: 2017-09-27
Filing date: 2017-09-27
Publication date: 2021-02-26
Anticipated expiration: 2037-09-27
Also published as: WO2019061081A1; CN108697327A

Abstract

A physiological information monitoring method, a device, equipment and an intelligent pad are provided, and the method comprises the following steps: acquiring a pressure electric signal (201) of a human body; sampling pressure values in preset sampling periods based on the pressure electric signal, and sampling N pressure values in each preset sampling period, wherein N is a positive integer greater than 2 (202); obtaining a jitter parameter (203) reflecting the jitter condition of the N pressure values according to the N pressure values; determining the state of the human body in a preset sampling period according to the jitter parameter (204); and obtaining the sleep quality parameters (205) of the human body according to the state of the human body in each preset sampling period. The physiological information monitoring method, the physiological information monitoring device, the physiological information monitoring equipment and the intelligent cushion are suitable for household use, can monitor the basic health condition of a user, and are low in product price.

Description

Physiological information monitoring method, device, equipment and intelligent cushion

Technical Field

The embodiment of the application relates to a physiological information monitoring technology, in particular to a physiological information monitoring method, a physiological information monitoring device, physiological information monitoring equipment and an intelligent cushion.

Background

Infants need more care because of weak constitution. The infant monitoring product can monitor the health condition of the infant, and provides great convenience for families with the infant. Currently, infant care products for monitoring the heart rate and respiratory rate of an infant are available on the market, which determine the health condition of the infant from the monitored heart rate and respiratory rate of the infant.

In the process of implementing the present application, the inventors found that the related art has at least the following problems:

the existing infant care products are high in price, the heart rate and the respiratory rate are mostly used for disease diagnosis, and the existing infant care products are not suitable for household monitoring of basic health conditions.

Content of application

The embodiment of the application aims to provide a physiological information monitoring method, a physiological information monitoring device, physiological information monitoring equipment and an intelligent cushion, which can monitor the sleep quality of a human body, are suitable for household monitoring of basic health conditions and are low in product price.

In order to solve the above technical problem, in a first aspect, an embodiment of the present application adopts a technical solution that: there is provided a physiological information monitoring method, the method comprising:

acquiring a pressure electric signal of a human body;

sampling pressure values in preset sampling periods based on the pressure electric signals, and sampling N pressure values in each preset sampling period, wherein N is a positive integer greater than 2;

obtaining a jitter parameter reflecting the jitter condition of the N pressure values according to the N pressure values;

determining the state of the human body in the preset sampling period according to the jitter parameter;

and obtaining the sleep quality parameters of the human body according to the state of the human body in each preset sampling period.

Optionally, the method further includes:

and obtaining the weight of the human body according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period.

Optionally, the obtaining, according to the N pressure values, a jitter parameter that reflects jitter conditions of the N pressure values includes:

obtaining frequency values reflecting the dithering frequencies of the N pressure values according to the N pressure values;

and obtaining amplitude values reflecting the vibration amplitudes of the N pressure values according to the N pressure values.

Optionally, the obtaining, according to the N pressure values, frequency values reflecting dither frequencies of the N pressure values includes:

calculating the absolute value of the difference value between the next pressure value and the previous pressure value in the N pressure values to obtain N-1 second absolute values;

accumulating the N-1 second absolute values to obtain frequency values reflecting the dithering frequencies of the N pressure values.

Optionally, the obtaining amplitude values reflecting the jitter amplitudes of the N pressure values according to the N pressure values includes:

obtaining an average of N of said pressure values;

calculating the absolute value of the difference value of each pressure value and the average value to obtain N first absolute values;

and accumulating the N first absolute values to obtain amplitude values reflecting the jitter amplitudes of the N pressure values.

Optionally, the determining the state of the human body in the preset sampling period according to the jitter parameter includes:

if the frequency value in the preset sampling period is greater than or equal to a preset frequency value, confirming that the human body is in a first state;

if the frequency value is smaller than a preset frequency value and the amplitude value is smaller than a preset amplitude value, confirming that the human body is in a second state;

and if the frequency value is smaller than a preset frequency value and the amplitude value is larger than or equal to a preset amplitude value, determining that the human body is in a third state.

Optionally, the obtaining of the sleep quality parameter of the human body according to the state of the human body in each preset sampling period includes:

and accumulating the time length of each preset sampling period in the second state to obtain the sleeping time length of the human body.

in each preset sampling period, if the state of the preset sampling period is the third state and the previous preset sampling period of the preset sampling period is other states except the third state, recording the occurrence of one body motion, and recording the sum of the times of the occurrence of the body motion as the times of the body motion of the human body.

Optionally, the obtaining the weight of the human body according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period includes:

and taking the average value of the N pressure values in the preset sampling period in the second state as the weight of the human body.

Optionally, before the sampling the pressure values at preset sampling periods based on the pressure electrical signal, and sampling N pressure values in each preset sampling period, the method further includes:

and obtaining a pressure sampling value based on the pressure electric signal, and entering a low-power-consumption working mode if the pressure sampling value is smaller than a first preset pressure threshold value.

In a second aspect, to solve the above technical problem, an embodiment of the present application adopts a technical solution that: there is provided a physiological information monitoring device, the device comprising:

the pressure electric signal acquisition module is used for acquiring a pressure electric signal of a human body;

the sampling module is used for sampling pressure values in preset sampling periods based on the pressure electric signals and sampling N pressure values in each preset sampling period, wherein N is a positive integer greater than 2;

the jitter parameter acquisition module is used for acquiring jitter parameters reflecting the jitter conditions of the N pressure values according to the N pressure values;

the state confirmation module is used for determining the state of the human body in the preset sampling period according to the jitter parameters;

and the sleep quality parameter acquisition module is used for acquiring the sleep quality parameters of the human body according to the state of the human body in each preset sampling period.

In order to solve the above technical problem, an embodiment of the present application adopts a technical solution that: there is provided a physiological information monitoring device including:

the weighing sensor is used for converting the human body pressure born by the weighing sensor into a pressure electric signal;

the control unit is electrically connected with at least one weighing sensor and used for processing the pressure electric signal, and comprises at least one processor and a memory, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute the method.

In order to solve the above technical problem, an embodiment of the present application adopts a technical solution that: providing a smart mat comprising:

the cushion body is used for bearing a human body;

in the physiological information monitoring device, the weighing sensor in the physiological information monitoring device is arranged below the pad body.

In a fifth aspect, to solve the above technical problem, an embodiment of the present application adopts a technical solution that: a non-transitory readable storage medium is provided that stores executable instructions that, when executed by a physiological information monitoring device, cause the physiological information monitoring device to perform the above-described method.

The beneficial effects of the embodiment of the application are that: different from the prior art, the embodiment of the application samples N pressure values in each preset sampling period by obtaining the pressure electric signal of the human body and sampling the pressure values in the preset sampling period based on the pressure electric signal, and obtains the state of the human body in the preset sampling period according to each pressure value in each preset sampling period, thereby obtaining the sleep quality parameter of the human body according to the state of the human body in each preset sampling period. Is suitable for household monitoring of basic health conditions, and has low product price.

Drawings

One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.

Fig. 1 is a schematic view of an application scenario of a physiological information monitoring method, device, apparatus and intelligent mat provided in an embodiment of the present application;

FIG. 2 is a schematic flow chart of a physiological information monitoring method provided in an embodiment of the application;

FIG. 3 is a schematic flow chart illustrating a process for obtaining amplitude values in jitter parameters according to an embodiment of the physiological information monitoring method of the present application;

FIG. 4 is a schematic flow chart illustrating a process for obtaining frequency values in a jitter parameter according to an embodiment of the physiological information monitoring method of the present application;

FIG. 5 is a schematic flow chart of a physiological information monitoring method provided in an embodiment of the application;

fig. 6 is a schematic structural diagram of a physiological information monitoring device provided in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a jitter parameter obtaining module in an embodiment of a physiological information monitoring apparatus of the present application;

FIG. 8 is a schematic structural diagram of an embodiment of a physiological information monitoring device of the present application;

FIG. 9 is a schematic hardware configuration of an embodiment of the physiological information monitoring device of the present application;

FIG. 10 is a schematic block diagram of an embodiment of a physiological information monitoring device of the present application;

FIG. 11 is a schematic block diagram of an embodiment of a physiological information monitoring device of the present application;

FIG. 12 is a schematic electrical diagram of the electrical components of one embodiment of the physiological information monitoring device of the present application;

FIG. 13 is a schematic diagram of the electrical structure of the electrical components of one embodiment of the physiological information monitoring device of the present application.

DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In addition, the technical features mentioned in the embodiments of the present application described below may be combined with each other as long as they do not conflict with each other.

The physiological information monitoring method and device provided by the embodiment of the application are suitable for the application scene shown in fig. 1, the application scene comprises the intelligent pad 100, the communication terminal 200 and the human body 300, the intelligent pad 100 is used for monitoring the weight and/or the sleep quality of the human body 300, and then the weight and/or the sleep quality parameters of the human body 300 are sent to the communication terminal 200, so that the weight and/or the sleep quality parameters are stored and displayed in the communication terminal 200, and a user can conveniently check the parameters. The communication terminal 200 is, for example, a mobile phone, a tablet computer, a personal computer, or the like. The human body 300 can be an infant or an adult, and the physiological information monitoring method, the device, the equipment and the intelligent cushion are particularly suitable for monitoring the weight and the sleep quality of the infant, but also suitable for the adult in certain application occasions.

The intelligent cushion 100 comprises a physiological information monitoring device 101 and a cushion body 102, the cushion body 102 is used for bearing a human body 300, the physiological information monitoring device 101 comprises a control system 10 and at least one weighing sensor 20, the control system 10 and the weighing sensor 20 are arranged below the cushion body 102, the weighing sensor 20 is used for sensing the pressure of the cushion body 102 from the human body 300 and generating a pressure electric signal according to the pressure, and the control system 10 is used for obtaining the weight and/or sleep quality parameter of the human body 300 according to the pressure electric signal.

As shown in fig. 2, an embodiment of the present application provides a physiological information monitoring method, which may be executed by the physiological information monitoring device 101 in fig. 1, and the method includes:

step 201: acquiring a pressure electric signal of a human body;

the physiological information monitoring device 101 can measure the pressure of the human body to which the load cell 20 is subjected by the load cell 20, and generate a pressure electric signal according to the pressure.

Step 202: sampling pressure values in preset sampling periods based on the pressure electric signals, and sampling N pressure values in each preset sampling period, wherein N is a positive integer greater than 2;

for example, if the preset sampling period is set to 5s and the pressure value is sampled based on the pressure electrical signal at a sampling rate of 10Hz, N ═ 50 pressure values are collected in one preset sampling period (N ═ sampling period x sampling rate).

Step 203: obtaining a jitter parameter reflecting the jitter condition of the N pressure values according to the N pressure values;

wherein the dithering parameter may be a frequency value reflecting a dithering frequency of the N pressure values. The dithering parameters may also be frequency values reflecting dithering frequencies for N of said pressure values and amplitude values reflecting dithering amplitudes for N of said pressure values.

Step 204: determining the state of the human body in the preset sampling period according to the jitter parameter;

specifically, in some embodiments of the method, when the jitter parameter includes a frequency value reflecting a jitter frequency of the N pressure values and a magnitude value reflecting a jitter amplitude of the N pressure values, determining the state of the human body in each preset sampling period according to the jitter parameter includes:

When the frequency value is larger than or equal to the preset frequency value, the dithering frequency of the N pressure values is high, and when the frequency value is smaller than the preset frequency value, the dithering frequency of the N pressure values is low.

When the amplitude value is larger than or equal to the preset amplitude value, the dithering amplitude of the N pressure values is large, and when the amplitude value is smaller than the preset amplitude value, the dithering amplitude of the N pressure values is small.

When the jitter frequency is high, whether the jitter amplitude is large or small, the human body can be considered to be active, namely the human body is in a first state in the sampling period;

when the jitter frequency is low and the jitter amplitude is small, the human body can be considered to be sleeping and no body movement occurs, namely the human body is in the second state in the sampling period;

when the jitter frequency is low and the jitter amplitude is large, the human body can be considered to be sleeping, but the body movement occurs, namely, the human body is in the third state in the sampling period.

In specific application, the state of the human body in each preset sampling period may be marked, for example, the first state is marked as 1, the second state is marked as 2, and the third state is marked as 3.

The details are shown in the following table:

the marking of the human body state is performed for each preset sampling period as above, and the sequence of state marks can be obtained within a period of time. For example: 11111122222332222221111.

in other embodiments of the method, when the dithering parameter includes only frequency values reflecting dithering frequencies of the N pressure values, determining the state of the human body in each preset sampling period according to the dithering parameter includes:

when the jitter frequency is high, namely the frequency value is greater than or equal to the preset frequency value, the human body can be considered to be in activity, namely the human body is in a first state in the sampling period;

when the dithering frequency is low, i.e. the frequency value is greater than or equal to the frequency preset value, it can be considered that the human body is sleeping, and this state can be considered as the fourth state and is indicated by the label 4. The details are shown in the following table:

jitter frequency	Status flag	Analysis of human body state
			Height of	1	Waking up the human body
Is low in	4	Human body sleeping

Then over a period of time, a sequence of status flags may be available. For example: 111111444444441111.

step 205: and obtaining the sleep quality parameters of the human body according to the state of the human body in each preset sampling period.

Specifically, the sleep quality can be reflected by the sleep duration and/or the body movement times, and in the same period of time, the longer the sleep duration, the better the sleep quality, and the fewer the body movement times, the better the sleep quality.

The sleep duration may be obtained by accumulating the durations of the preset sampling periods in the second state. For example, if the sequence of status flags obtained over a period of time is: 11111122222332222221111, if there are 11 cycles in the preset sampling period in the second state, the sleep duration is the preset sampling period x 11. The sleep time duration can also be obtained by accumulating the time duration of each preset sampling period in the fourth state. For example, if the sequence of status flags obtained over a period of time is: 111111444444441111, if the preset sampling period in the fourth state has 8 periods, the sleep duration is the preset sampling period × 8.

The body movement times can be obtained through the number of preset sampling periods in the third state, if a continuous preset sampling period in the third state exists, the continuous preset sampling period serves as 1 body movement, a discrete preset sampling period in the third state serves as a primary body movement, and the sum of the body movement times of each continuous preset sampling period and the discrete preset sampling period in the third state is obtained and serves as the body movement times of the human body. In other words, in each preset sampling period, if the state of the preset sampling period is the third state and the previous preset sampling period of the preset sampling period is other states except the third state, the occurrence of a body motion is recorded. For example, if the sequence of status flags obtained over a period of time is: 111311122222332222221111, the former 3 is discrete and counts as a body movement, the latter two 3 are continuous, and the two 3 counts as a body movement, then the human body moves 2 times in total during the time.

According to the embodiment of the application, the pressure electric signal of the human body is obtained, the pressure value is sampled in the preset sampling period based on the pressure electric signal, N pressure values are sampled in each preset sampling period, the state of the human body in each preset sampling period is obtained according to each pressure value in each preset sampling period, and therefore the sleep quality parameter of the human body is obtained according to the state of the human body in each preset sampling period. Is suitable for household monitoring of basic health conditions, and has low product price.

Optionally, in other embodiments of the method, the method further includes:

Specifically, because the pressure born by the weighing sensor and the gravity of the human body are the relation between the acting force and the reacting force, the weight of the human body can be directly calculated according to any pressure value. The weight of the human body can also be calculated according to the average value of the N pressure values in any preset sampling period. The weight of the human body can also be calculated according to the average value of the N pressure values in the preset sampling period in the fourth state, namely the weight of the human body is calculated according to the average value of the pressure values in the sleep state of the human body. The weight of the human body can be calculated according to the mean value of the N pressure values in the preset sampling period in the second state, namely the weight of the human body is calculated according to the mean value of the pressure values in the state that the human body does not generate body motion during sleeping, and because the pressure is equal to the gravity in the state that the human body does not generate body motion, the weight value obtained according to the pressure value at the moment is more accurate.

According to the embodiment of the application, the weight and the sleep quality of the human body can be monitored simultaneously, the weight and the sleep quality parameters can be obtained simultaneously by using one product, convenience is provided for a user, and the user experience degree is high.

Specifically, as shown in fig. 3, in some embodiments of the method, amplitude values of the dither amplitude reflecting N of the pressure values may be obtained by:

step 2031: obtaining an average of N of said pressure values;

step 2032: calculating the absolute value of the difference value of each pressure value and the average value to obtain N first absolute values;

step 2033: and accumulating the N first absolute values to obtain amplitude values reflecting the jitter amplitudes of the N pressure values.

For example, when N is 50, adding 50 pressure values and dividing by 50 will result in the mean of the 50 pressure values. Then, the absolute value of the difference between each of the 50 pressure values and the average value is obtained, and the 50 absolute values are accumulated, so as to obtain the amplitude value reflecting the jitter amplitude of the 50 pressure values.

Or after obtaining the mean value of the N pressure values, the variance between each pressure value of the N pressure values and the mean value may also be obtained, and then the sum of the N variances is used as the amplitude value reflecting the jitter amplitude of the N pressure values.

Specifically, as shown in fig. 4, in some embodiments of the method, the frequency values of the dithering frequencies reflecting N of the pressure values may be obtained by:

step 2034: calculating the absolute value of the difference value between the next pressure value and the previous pressure value in the N pressure values to obtain N-1 second absolute values;

step 2035: accumulating the N-1 second absolute values to obtain frequency values reflecting the dithering frequencies of the N pressure values.

For example, when N is 50, among 50 pressure values, the absolute value of the difference between the next pressure value and the previous pressure value is sequentially found to obtain 49 absolute values, and the sum of the 49 absolute values is used as the frequency value of the dither frequency reflecting the 50 pressure values.

Optionally, as shown in fig. 5, in another embodiment of the method, before sampling the pressure values in the preset sampling period based on the pressure electrical signal, and before sampling N pressure values in each preset sampling period, that is, between

steps

301 and 303, except for

steps

301, 303, 304, 305, and 306 (please refer to step 201 and 205 for details of

steps

301, 303, 304, 305, and 306, which are not described herein again), the method further includes:

step 302: and obtaining a pressure sampling value based on the pressure electric signal, and entering a low-power-consumption working mode if the pressure sampling value is smaller than a first preset pressure threshold value.

When the pressure sampling value is lower than the first preset pressure threshold value, it indicates that the human body is not on the pad body 102 at this time, and then the low-power-consumption power-saving mode is entered to reduce power consumption. When the pressure sampling value is higher than the first preset pressure threshold value, it indicates that the human body is on the pad body 102 at this time, and then the normal working mode is entered, and sampling is performed based on the pressure electric signal at a preset sampling rate.

Accordingly, as shown in fig. 6, an embodiment of the present application further provides a physiological information monitoring apparatus, which is located in the physiological information monitoring device 101 in fig. 1, and the apparatus includes:

a pressure electric signal acquisition module 401, configured to acquire a pressure electric signal of a human body;

a sampling module 402, configured to sample pressure values at preset sampling periods based on the pressure electrical signal, and sample N pressure values in each preset sampling period, where N is a positive integer greater than 2;

a jitter parameter obtaining module 403, configured to obtain, according to the N pressure values, a jitter parameter that reflects jitter conditions of the N pressure values;

a state confirmation module 404, configured to determine, according to the jitter parameter value, a state of the human body in the preset sampling period;

a sleep quality parameter obtaining module 405, configured to obtain the sleep quality parameter of the human body according to the state of the human body in each preset sampling period.

Optionally, in another embodiment of the apparatus, the apparatus further includes:

and the weight obtaining module is used for obtaining the weight of the human body according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period.

Specifically, as shown in fig. 7, in some embodiments of the apparatus, the jitter parameter obtaining module 403 includes:

an amplitude obtaining module 4031, configured to obtain, according to the N pressure values, amplitude values that reflect jitter amplitudes of the N pressure values;

a frequency obtaining module 4032, configured to obtain, according to the N pressure values, frequency values that reflect the dithering frequencies of the N pressure values.

Specifically, in some embodiments of the apparatus, the frequency obtaining module 4032 is specifically configured to:

Specifically, in some embodiments of the apparatus, the amplitude obtaining module 4031 is specifically configured to:

obtaining an average of N of said pressure values;

Specifically, in some embodiments of the apparatus, the status confirmation module 404 is specifically configured to:

Specifically, in some embodiments of the apparatus, the sleep quality parameter obtaining module 405 is specifically configured to:

Optionally, in other embodiments of the apparatus, the sleep quality parameter obtaining module 405 is further configured to:

Optionally, in other embodiments of the apparatus, the weight obtaining module is specifically configured to:

Optionally, as shown in fig. 8, in another embodiment of the apparatus, the apparatus further includes, in addition to the pressure electrical signal acquisition module 401, the sampling module 402, the jitter parameter acquisition module 403, the state confirmation module 404, and the weight and sleep quality parameter acquisition module 405:

and the working mode selection module 406 is configured to obtain a pressure sampling value based on the pressure electrical signal, and enter a low power consumption working mode if the pressure sampling value is smaller than a first preset pressure threshold.

It should be noted that the above-mentioned apparatus can execute the method provided by the embodiments of the present application, and has corresponding functional modules and beneficial effects for executing the method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.

Correspondingly, as shown in fig. 9, an embodiment of the present application further provides a physiological information monitoring device 101, where the physiological information monitoring device 101 includes: at least one load cell 20 and a control unit 11, wherein the control unit 11 may be located within the control system 10 shown in fig. 1, the control unit 11 being electrically connected to the at least one load cell 20. The load cell 20 is configured to convert the human body pressure borne by the load cell 20 into a pressure electrical signal, and the control unit 11 is configured to process the pressure electrical signal. The control unit 11 includes:

at least one processor 112 (illustrated as a processor in fig. 9) and a memory 111, the processor 112 and the memory 111 may be connected by a bus or other means, and fig. 9 illustrates an example of a connection by a bus.

The memory 111 is used for storing nonvolatile software programs, nonvolatile computer executable programs, and modules, such as program instructions/modules corresponding to the physiological information monitoring method in the embodiment of the present application (for example, the pressure electrical signal acquisition module 401 shown in fig. 6). The processor 112 executes various functional applications and data processing by executing nonvolatile software programs, instructions and modules stored in the memory 111, so as to implement the physiological information monitoring method of the above method embodiment.

The memory 111 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the physiological information monitoring device, and the like. Further, the memory 111 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 111 optionally includes memory located remotely from the processor 112, which may be connected to the physiological information monitoring device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 111 and, when executed by the one or more processors 112, perform the physiological information monitoring method in any of the above-described method embodiments, for example, the

method step

201 and 205 in fig. 2, the

method step

2031 and 2033 in fig. 3, the

method step

2034 and 2035 in fig. 4, and the method steps 301 and 306 in fig. 5 described above; the functions of the

module

401 and 405 in fig. 6, the module 403, the sub-module 4031 and 4032 in fig. 7, and the

module

401 and 406 in fig. 8 are realized.

In the present embodiment, the load cell 20 is a resistance strain sensor, which is mainly composed of an elastic element, a resistance strain gauge, a measurement circuit, and a transmission cable 4. The core device of the resistance strain sensor is a resistance strain gauge, which is made by winding constantan wire or nickel-chromium wire with phi 0.02-0.05mm into a grid shape (or corroding the wire into the grid shape by using a thin metal foil) and clamping the grid shape in two layers of insulating sheets (substrates), and can convert the strain change on a mechanical component into resistance change. The resistance strain gauge is attached to the elastic element, when a human body acts on the pad body 102, the pad body 102 is pressed by the human body and transmits the pressure to the resistance strain sensor, the elastic element of the resistance strain sensor is deformed when being pressed by the pad body 102, and the resistance strain gauge on the elastic element is deformed along with the deformation, so that the resistance is changed. The measuring circuit measures the resistance change of the resistance strain gauge and converts the resistance change into a pressure electric signal proportional to the pressure and outputs the pressure electric signal. In other embodiments, the weighing sensor 20 may be a photoelectric sensor, a hydraulic sensor, an electromagnetic sensor, a capacitive sensor, a magnetic pole deformation sensor, a vibration sensor, or a gyroscope sensor.

The embodiment of the application can also realize monitoring the weight and the sleep quality parameters simultaneously, the weight and the sleep condition belong to two different categories, the product for monitoring the weight and the product for monitoring the sleep condition in the prior art adopt different types of sensors, generally 2 or more than 2 sensors are needed, and compared with the prior art, the physiological information monitoring equipment provided by the embodiment of the application can be used for monitoring the weight and the sleep condition simultaneously by one sensor, is simple to use and is low in cost.

The present embodiment provides a storage medium storing computer-executable instructions, which are executed by one or more processors (e.g., one processor 112 in fig. 9), so that the one or more processors can execute the physiological information monitoring method in any of the above-mentioned method embodiments, for example, the

method step

201 and 205 in fig. 2, the

method step

2031 and 2033 in fig. 3, the

method step

2034 and 2035 in fig. 4, and the method steps 301 to 306 in fig. 5, which are described above, are executed; the functions of the

module

401 and 406 in fig. 8 are realized.

Accordingly, referring to fig. 1, 10 and 11, an embodiment of the present application further provides an intelligent mat 100, the intelligent mat 100 includes a mat body 102 and the above-mentioned physiological information monitoring device 101, the physiological information monitoring device 101 includes a control system 10 and at least one weighing sensor 20, and the control system 10 includes a control unit (not shown in fig. 1, 10 and 11). The control system 10 and the weighing sensor 20 are disposed below the pad body 102, a control unit in the control system 10 is electrically connected to the weighing sensor 20 through a connection line 40, the weighing sensor 20 is used for sensing pressure of the pad body 102 from a human body and generating a pressure electric signal according to the pressure, and the control unit is used for obtaining pressure information according to the pressure electric signal.

The pad body 102 includes a soft plate 1021 and a hard plate 1022, the soft plate 1021 and the hard plate 1022 are laminated, the hard plate 1021 is located below the soft plate 1022, and the control system 10 and the load cell 20 are provided on a bottom surface of the hard plate 1022. The control system 10 may power the control system 10 and the load cell 20 by externally connecting a power source from the interface cord 19.

In this embodiment, the cushion body 102 is formed by stacking the soft plate 1021 and the hard plate 1022, mainly considering that the soft plate 1021 needs to contact the human body, and the soft material can improve the comfort. The rigid plate 1022 mainly functions as a support for uniformly transmitting the human body pressure applied to the pad body 102 to the load cell 20. Wherein, hard board 1022 can select for use organic glass or the harder panel of other materials. The organic glass plate is hard and light, is suitable for being used as a hard plate 1022, and four corners of the hard plate 1022 can be set to be rounded corners so as to avoid colliding with a baby or a user.

In this embodiment, the number of the weighing cells 20 is 4, and the 4 weighing cells 20 are uniformly distributed at four corners of the pad body 102 to ensure the stability of the pad body 102. In other embodiments, the number of the load cells 20 may also be 2, 3, 5 or more, and the load cells are uniformly distributed on the bottom surface of the hard plate 1022, so that uniform stress on each load cell 20 can be ensured, and the detection accuracy of the pressure information can be improved. Alternatively, the measuring range of the load cell 20 is 3 times the maximum weight of the detected object, for example, when the detected object is an infant, since the weight of the infant is generally 9-12kg, the measuring range of the load cell 20 can be set to 36 kg. The range of the load cell 20 is set to be much larger than the body weight of the test object itself in order to prevent the resistance strain gauge of the load cell 20 from being damaged by long-term stress.

In the embodiment, the control system 10 is disposed below the pad body 30 and in the middle of each weighing sensor 20, so that space is saved and wiring is facilitated. In other embodiments, the control system 10 may also be disposed on the side of the pad body 102.

In practical applications, the control system 10 may be in the form of a round box or a square box (the scheme of the round box is shown in fig. 2), and electronic components such as a control unit are placed in the box to prevent the electronic components from being corroded or damaged. The connection line 40 may be disposed within the connection tube to prevent the connection line 40 from being exposed to the outside and damaged.

The embodiment of the application also realizes the simultaneous monitoring of the weight and the sleep quality, and compared with the prior art, the device can simultaneously monitor the weight and the sleep condition by using the same sensor, and has the advantages of simple use and low cost.

It should be noted that the intelligent cushion can be in the form of any cushion for resting and sleeping on the human body, such as an intelligent mattress, an intelligent sofa cushion, and the like.

After obtaining the pressure information as described above, in some embodiments of the smart mat, a display may be provided on the smart mat for displaying the pressure information. In other embodiments, referring to fig. 12, the control system 10 may further include a communication module 15, where the communication module 15 is electrically connected to the control unit 11, and is configured to transmit the pressure information to other communication terminals, such as a mobile phone, a tablet computer, a personal computer, and the like, so as to display the pressure information on the communication terminals for a user to view. The communication module may be, for example, a bluetooth module or a wifi (wireless fidelity) module.

In other embodiments, referring to fig. 12, the control system 10 may further include a communication module 15 and a FLASH memory chip (FLASH memory) 14, and the communication module 15 and the FLASH memory chip 14 are electrically connected to the control unit 11 respectively. The FLASH memory chip 14 is used for storing the pressure information, and the communication module 15 is used as a slave machine to send the pressure information to the communication terminal without initiative. Only when the communication terminal establishes communication connection with the communication module 15, for example, when a guardian of the infant opens the mobile phone application software to perform communication connection with the intelligent cushion, the control unit 11 reads the pressure information from the FLASH memory chip 14 and sends the pressure information to the communication terminal through the communication module 15, so that the guardian of the infant can conveniently check the pressure information, and thus, the power consumption and the radiation can be reduced.

Optionally, referring to fig. 12, in another embodiment of the intelligent pad, the control system further includes a clock chip 12, and the clock chip 12 is electrically connected to the control unit 11 and is configured to provide a clock signal to the control unit 11. So that the control unit 11 associates the pressure information with its corresponding time stamp when storing the pressure information, thereby enabling the user to know the specific moment of the body movement when viewing the pressure information.

In some embodiments of the smart mat, the control system 10 and load cell 20 are powered by a power source external to the interface cord 19, wherein the interface cord 19 may take the form of a USB interface cord. In another embodiment, referring to fig. 13, the control system 10 further includes a charging chip 16, a battery 17, a first low dropout regulator 18b, and a second low dropout regulator 18a, one end of the charging chip 16 is connected to a charging interface line 19, the other end of the charging chip 16 is electrically connected to one end of the battery 17, the other end of the battery 17 is respectively connected to the first low dropout regulator 18b and the second low dropout regulator 18a, the first low dropout regulator 18b is respectively electrically connected to the weighing sensor 20 and the a/D conversion chip 13, and the second low dropout regulator 18a is respectively electrically connected to the control unit 11, the a/D conversion chip 13, the clock chip 12, and the FLASH memory chip 14. The charging chip 16 is used for managing the charging and discharging conditions of the battery 17, the voltage of the battery 17 is stabilized by the first low dropout regulator 18b and then supplies power to the weighing sensor 20 and the a/D conversion chip 13, and the voltage of the battery 17 is stabilized by the second low dropout regulator 18a and then respectively supplies power to the control unit 11, the a/D conversion chip 13, the clock chip 12 and the FLASH memory chip 14. The structure can ensure that the intelligent pad can still normally work under the power-off state.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are intended to be included within the scope of the present application.

Claims

1. a physiological information monitoring method, is characterized in that, described method comprises:

Obtain the pressure signal of the human body;

Sampling pressure values at a preset sampling period based on the pressure electrical signal, sampling N pressure values in each preset sampling period, where N is a positive integer greater than 2;

obtain the average value of N said pressure values;

calculating the absolute value of the difference between each of the pressure values and the average value to obtain N first absolute values;

Accumulate the N first absolute values to obtain amplitude values reflecting the jitter amplitudes of the N pressure values;

Among the N pressure values, the absolute value of the difference between the latter pressure value and the former pressure value is calculated to obtain N-1 second absolute values;

Accumulate the N-1 second absolute values to obtain a frequency value reflecting the shaking frequency of the N pressure values;

Determine the state of the human body in the preset sampling period according to a jitter parameter, where the jitter parameter includes the amplitude value and the frequency value;

Marking the state of the human body in each preset sampling period, and obtaining a sequence of marking the state of the human body;

The sleep quality parameter of the human body is obtained according to the state of the human body in each preset sampling period.

2. The physiological information monitoring method according to claim 1, wherein the method further comprises:

The body weight of the human body is obtained according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period.

3. The method for monitoring physiological information according to claim 1, wherein the determining the state of the human body in the preset sampling period according to the jitter parameter comprises:

If the frequency value within the preset sampling period is greater than or equal to the preset frequency value, confirming that the human body is in the first state;

If the frequency value is smaller than the preset frequency value, and the amplitude value is smaller than the preset amplitude value, confirming that the human body is in the second state;

If the frequency value is less than the preset frequency value, and the amplitude value is greater than or equal to the preset amplitude value, it is confirmed that the human body is in the third state.

4 . The method for monitoring physiological information according to claim 3 , wherein the obtaining sleep quality parameters of the human body according to the state of the human body in each preset sampling period comprises: 5 .

The duration of each preset sampling period in the second state is accumulated to obtain the sleep duration of the human body.

5 . The method for monitoring physiological information according to claim 4 , wherein the obtaining sleep quality parameters of the human body according to the state of the human body in each preset sampling period comprises: 6 .

In each preset sampling period, if the state of the preset sampling period is the third state, and the previous preset sampling period of the preset sampling period is a state other than the third state, it is recorded as a body movement. The sum of the number of body movements was recorded as the number of body movements of the human body.

6 . The method for monitoring physiological information according to claim 5 , wherein the weight of the human body is obtained according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period. 7 . ,include:

The average value of the N pressure values in the preset sampling period in the second state is taken as the body weight.

7 . The method for monitoring physiological information according to claim 1 , wherein when the pressure value is sampled at a preset sampling period based on the pressure electrical signal, N pressures are sampled in each preset sampling period. 8 . Before the value, the method further includes:

A pressure sampling value is obtained based on the pressure electrical signal, and if the pressure sampling value is less than a first preset pressure threshold, a low power consumption working mode is entered.

8. A physiological information monitoring device, wherein the device comprises:

The pressure signal acquisition module is used to obtain the pressure signal of the human body;

a sampling module, configured to sample pressure values with a preset sampling period based on the pressure electrical signal, and sample N pressure values in each preset sampling period, where N is a positive integer greater than 2;

The jitter parameter acquisition module is used to obtain the average value of the N pressure values, calculate the absolute value of the difference between each of the pressure values and the average value, and obtain N first absolute values. The first absolute value is accumulated to obtain an amplitude value reflecting the jitter amplitude of the N pressure values; and,

It is used to calculate the absolute value of the difference between the next pressure value and the previous pressure value among the N pressure values to obtain N-1 second absolute values; carry out the N-1 second absolute values. Accumulate to obtain a frequency value reflecting the shaking frequency of the N pressure values;

a state confirmation module, configured to determine the state of the human body in the preset sampling period according to the jitter parameter, where the jitter parameter includes the amplitude value and the frequency value; and,

for marking the state of the human body in each preset sampling period, and obtaining a sequence of marking the state of the human body;

A sleep quality parameter obtaining module, configured to obtain the sleep quality parameter of the human body according to the state of the human body in each preset sampling period.

9. A physiological information monitoring device, comprising:

at least one load cell for converting the human body pressure that the load cell bears into a pressure electrical signal;

a control unit, electrically connected to at least one of the load cells, for processing the pressure electrical signal, the control unit comprising at least one processor and a memory, the memory storing data that can be processed by the at least one processor-executed instructions, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A smart pad, comprising:

a pad body, the pad body is used to carry a human body;

The physiological information monitoring device according to claim 9, wherein the weighing sensor in the physiological information monitoring device is arranged below the pad body.

11. A non-volatile readable storage medium, wherein the storage medium stores executable instructions, and when the executable instructions are executed by a physiological information monitoring device, the physiological information monitoring device is made to execute a right The method of any one of claims 1-7.